STORE TO SCREEN: DESIGNING A VOICE AI ASSISTANT
[INTERACTION DESIGN]
[UI/UX DESIGN]
[UI/UX DESIGN]
For a major telecom client, I worked on a voice AI interface that lets customers complete tasks like purchasing a device or troubleshooting an issue, entirely through conversation. The concept was built as an MVP to demo this technology to the client and is currently in development.
For a major telecom client at Cognizant
2 Weeks, October-November 2023
Interaction and visual design, prototyping.
Design Solution
What we developed was a voice assistant that launches as an overlay directly from the site. Customers interact almost entirely by speaking; the assistant listens, responds, and surfaces relevant information on screen as the conversation unfolds. We designed and prototyped two workflows to test the concept: a sales journey, where the assistant helps a customer choose and purchase a device, and a support journey, where it helps troubleshoot an issue with an existing one.
An agentic AI system listens to what the customer says, interprets intent, and determines the next step, including taking action directly when appropriate.
Two states: listening and speaking
A glowing gradient border around the whole panel signals listening; a glowing gradient aura around the assistant's avatar signals speaking. Clicking is reserved for controlling the session itself, like starting, muting, or pausing.
A visual layer that follows the conversation
The visual UI updates dynamically based on what's being discussed. If the assistant recommends a few device options, those appear on screen, the way an employee might lay a few choices in front of you.
Confirming every choice, twice
Any selection, or any reference the assistant makes to something on screen, is highlighted visually. Decisions are reaffirmed both verbally and visually before moving forward.
Design Process
Removing the page also meant removing most visual feedback. In a typical app, a spinner or a highlighted button tells you something is happening; voice doesn't have that built in. We borrowed a parallel from video calls, which are, in a sense, already a kind of digital conversation. That comparison surfaced two essential feedback states: the customer needs to know when the assistant is listening, and when it's speaking. We also limited click-based interaction by design. That decision raised the stakes on clarity: if a customer can't click their way out of confusion, every choice the system makes on their behalf needs to be visible and easy to confirm.